Abstract: A system and method for assessing the effectiveness of automation and control units (HVAC, Elevator, water supply, etc.) implemented in a Building Management System (BMS) of a building is illustrated. Initially, the system reads/receives a metadata corresponding to all the sensing and control requirements based on the design and usage of the building, and further, assesses the implementation of the control routines for determining how the automation objectives are being met in the building by each of the currently implemented automation and control units in the building. The system further assesses how all the automation and control units work together in tandem. This assessment is then interpreted on based on different vectors. Finally, the system identifies gaps based on the assessment and generates recommendations to address these gaps.

Abstract: A network device may receive, from a transmitting network device, a packet, wherein the packet includes a first outer internet protocol (IP) header, a Generic Routing Encapsulation (GRE) header, a second outer IP header, an Encapsulating Security Payload (ESP) header, and an inner packet, wherein the inner packet is encapsulated by the ESP header, the ESP header is encapsulated by the second outer IP header, the second outer IP header is encapsulated by the GRE header, and the GRE header is encapsulated by the first outer IP header. The network device may decapsulate the packet to remove the first outer IP header and the GRE header from the packet. The network device may decrypt, after decapsulating the packet, the packet to identify the inner packet. The network device may cause one or more actions associated with the inner packet to be performed.

Abstract: Provided is a method for virtually executing an operation of an energy dispersive x-ray spectrometry (EDS) system in real time production line by analyzing a defect included in a material undergoing inspection based on computer vision, the method including receiving a scanning electron microscope (SEM) image of the material including the defect, extracting an image-feature from the SEM image of the material; classifying the extracted image-feature under a predetermined label, predicting, based on the classified image-feature, an element associated with the defect included in the material and a shape of the predicted element, and grading the defect included in the material based on comparing the predicted element with a predetermined criteria.

Abstract: This disclosure covers methods, non-transitory computer readable media, and systems that use an intelligent analytics interface to process natural-language and other inputs to configure an analytics task for the system. The disclosed methods, non-transitory computer readable media, and systems provide the intelligent analytics interface to facilitate an exchange between the systems and a user to determine values for the analytics task. The methods, non-transitory computer readable media, and systems then use these values to execute an analytics task.

Abstract: In various example embodiments, a system and method for constructing and scoring word vectors between natural language words and generating output to a user in the form of personalized recommendations are presented.

Abstract: In various example embodiments, a system and method for constructing and scoring word vectors between natural language words and generating output to a user in the form of personalized recommendations are presented.

Abstract: A network device may receive, from a transmitting network device, a packet, wherein the packet includes a first outer internet protocol (IP) header, a Generic Routing Encapsulation (GRE) header, a second outer IP header, an Encapsulating Security Payload (ESP) header, and an inner packet, wherein the inner packet is encapsulated by the ESP header, the ESP header is encapsulated by the second outer IP header, the second outer IP header is encapsulated by the GRE header, and the GRE header is encapsulated by the first outer IP header. The network device may decapsulate the packet to remove the first outer IP header and the GRE header from the packet. The network device may decrypt, after decapsulating the packet, the packet to identify the inner packet. The network device may cause one or more actions associated with the inner packet to be performed.

Abstract: A network device identifies an Internet Protocol Security (IPsec) tunnel that connects the network device to a remote device and determines that dead peer detection (DPD) is enabled at the network device. The network device receives a first DPD request message from the remote device via the IPsec tunnel, and sends a first DPD response message to the remote device via the IPsec tunnel. The network device determines that a workload of the network device satisfies a threshold amount, and sends one or more encapsulating security payload (ESP) packets that include traffic flow confidentiality (TFC) payload data to the remote device via the IPsec tunnel. The network device determines that the workload of the network device does not satisfy the threshold amount. The network device receives a second DPD request message from the remote device and sends a second DPD response message to the remote device via the IPsec tunnel.

Abstract: Forecasting a potential audience size and an unduplicated audience size for a digital campaign includes receiving an audience segment input and a time period input. The audience segment input is converted into multiple atomic target specifications. For each of the multiple atomic target specifications, a potential audience size is determined during the time period input by selecting a time series model based on a frequency of attribute values from the atomic target specification and combining the selected time series model with a frequent item set model. The potential audience size for each of atomic target specifications is aggregated over the time period input into a total potential audience size. The total potential audience size is output. The time series model and the frequent item set model are obtained using data from a historic bid request database.

Abstract: Aspects described herein may relate to methods, systems, and apparatuses that partitions searchable content and distributes the segments across a plurality of processing nodes, which in turn further sub-partitions the partitions for processing by local search actor in order to increase the speed with which a search request from a user is processed. Processing nodes available to receive partitioned searchable content are registered with an external storage device. The external storage device also maintains a global results collector that compiles results from the partitions of searchable content. Respective local collector actors receive compiled results from local search actors for a processing node and the compiled results are sent to the global results collector for compiling for the plurality of processing nodes. Results of the user search request are then provided to the user.

Abstract: A network device identifies an Internet Protocol Security (IPsec) tunnel that connects the network device to a remote device and determines that dead peer detection (DPD) is enabled at the network device. The network device receives a first DPD request message from the remote device via the IPsec tunnel, and sends a first DPD response message to the remote device via the IPsec tunnel. The network device determines that a workload of the network device satisfies a threshold amount, and sends one or more encapsulating security payload (ESP) packets that include traffic flow confidentiality (TFC) payload data to the remote device via the IPsec tunnel. The network device determines that the workload of the network device does not satisfy the threshold amount. The network device receives a second DPD request message from the remote device and sends a second DPD response message to the remote device via the IPsec tunnel.

Abstract: Aspects described herein may relate to methods, systems, and apparatuses that partitions searchable content and distributes the segments across a plurality of processing nodes, which in turn further sub-partitions the partitions for processing by local search actor in order to increase the speed with which a search request from a user is processed. Processing nodes available to receive partitioned searchable content are registered with an external storage device. The external storage device also maintains a global results collector that compiles results from the partitions of searchable content. Respective local collector actors receive compiled results from local search actors for a processing node and the compiled results are sent to the global results collector for compiling for the plurality of processing nodes. Results of the user search request are then provided to the user.

Abstract: Certain embodiments involve enhancing personalization of a virtual-commerce environment by identifying an augmented-reality visual of the virtual-commerce environment. For example, a system obtains a data set that indicates a plurality of augmented-reality visuals generated in a virtual-commerce environment and provided for view by a user. The system obtains data indicating a triggering user input that corresponds to a predetermined user input provideable by the user as the user views an augmented-reality visual of the plurality of augmented-reality visuals. The system obtains data indicating a user input provided by the user. The system compares the user input to the triggering user input to determine a correspondence (e.g., a similarity) between the user input and the triggering user input. The system identifies a particular augmented-reality visual of the plurality of augmented-reality visuals that is viewed by the user based on the correspondence and stores the identified augmented-reality visual.

Abstract: Aspects described herein may relate to methods, systems, and apparatuses that partitions searchable content and distributes the segments across a plurality of processing nodes, which in turn further sub-partitions the partitions for processing by local search actor in order to increase the speed with which a search request from a user is processed. Processing nodes available to receive partitioned searchable content are registered with an external storage device. The external storage device also maintains a global results collector that compiles results from the partitions of searchable content. Respective local collector actors receive compiled results from local search actors for a processing node and the compiled results are sent to the global results collector for compiling for the plurality of processing nodes. Results of the user search request are then provided to the user.

Abstract: Certain embodiments involve enhancing personalization of a virtual-commerce environment by identifying an augmented-reality visual of the virtual-commerce environment. For example, a system obtains a data set that indicates a plurality of augmented-reality visuals generated in a virtual-commerce environment and provided for view by a user. The system obtains data indicating a triggering user input that corresponds to a predetermined user input provideable by the user as the user views an augmented-reality visual of the plurality of augmented-reality visuals. The system obtains data indicating a user input provided by the user. The system compares the user input to the triggering user input to determine a correspondence (e.g., a similarity) between the user input and the triggering user input. The system identifies a particular augmented-reality visual of the plurality of augmented-reality visuals that is viewed by the user based on the correspondence and stores the identified augmented-reality visual.

Abstract: Certain embodiments involve enhancing personalization of a virtual-commerce environment by identifying an augmented-reality visual of the virtual-commerce environment. For example, a system obtains a data set that indicates a plurality of augmented-reality visuals generated in a virtual-commerce environment and provided for view by a user. The system obtains data indicating a triggering user input that corresponds to a predetermined user input provideable by the user as the user views an augmented-reality visual of the plurality of augmented-reality visuals. The system obtains data indicating a user input provided by the user. The system compares the user input to the triggering user input to determine a correspondence (e.g., a similarity) between the user input and the triggering user input. The system identifies a particular augmented-reality visual of the plurality of augmented-reality visuals that is viewed by the user based on the correspondence and stores the identified augmented-reality visual.

Abstract: In a services exchange medium, buyers are able to search and hire service providers to get projects done quickly and cost effectively. A buyer-provider matching algorithm uses two scores to calculate a “Provider Search” score for each service provider: a “Reputation” score and a “Provider Match” score. In some embodiments, the “Reputation” score is a quantitative metric score of a service provider's overall reputation within the services exchange medium. In other embodiments, the “Reputation” score is configured to enhance the “Provider Match” score. Since reputation is an important attribute when searching for a qualified service provider, the “Provider Search” score takes into consideration the “Reputation” score. A provider results list generated from a provider search is sorted by the “Provider Search” score. As such, the provider results list is sorted in a significant manner useful to the buyer searching for the qualified service provider.

Abstract: An online professional badge allows viewers to view real-time information about the service provider. Typically, the real-time information includes a subset of information provided in a profile belonging to the service provider within a services exchange medium. The online professional badge resides anywhere on the Internet outside the services exchange medium. The online professional badge allows the service provider to actively market the service provider as a professional in, but not limited to, dating and social networks, blogs, web pages, email messages, chat messages, and/or banner advertisements. As such, viewers are able to learn about the service provider and/or initiate a hiring process without accessing other sites.

Abstract: This disclosure covers methods, non-transitory computer readable media, and systems that use an intelligent analytics interface to process natural-language and other inputs to configure an analytics task for the system. The disclosed methods, non-transitory computer readable media, and systems provide the intelligent analytics interface to facilitate an exchange between the systems and a user to determine values for the analytics task. The methods, non-transitory computer readable media, and systems then use these values to execute an analytics task.

Abstract: A network device identifies an Internet Protocol Security (IPsec) tunnel that connects the network device to a remote device and determines that dead peer detection (DPD) is enabled at the network device. The network device receives a first DPD request message from the remote device via the IPsec tunnel, and sends a first DPD response message to the remote device via the IPsec tunnel. The network device determines that a workload of the network device satisfies a threshold amount, and sends one or more encapsulating security payload (ESP) packets that include traffic flow confidentiality (TFC) payload data to the remote device via the IPsec tunnel. The network device determines that the workload of the network device does not satisfy the threshold amount. The network device receives a second DPD request message from the remote device and sends a second DPD response message to the remote device via the IPsec tunnel.